Skip to content
Viraj Mahalunkar

Capabilities

What I build for manufacturing businesses.

Four capabilities that connect — a website brings the enquiry in, SEO makes sure it's found, and software and AI tools handle what happens to that enquiry once it lands on your desk.

01

B2B Websites

Fast, modern websites designed around how industrial buyers actually evaluate suppliers — not around what looks impressive in a pitch.

Corporate & manufacturing websites

Built around capability, process and proof — the information an engineer or procurement lead needs before calling.

Product catalogues

Scalable catalogue architecture for distributors and manufacturers with large or growing SKU ranges.

Landing pages

Focused pages for a specific offer, process, or location, built to convert a specific search intent.

Conversion architecture

RFQ forms, WhatsApp enquiry paths and contextual CTAs placed where a buyer is actually ready to act.

Mobile optimisation

Designed for the phone-first reality of how most industrial searches actually happen.

Cloudflare deployment

Fast, resilient hosting with sensible caching — part of why these sites load quickly.

02

SEO & Organic Growth

The site's information architecture is built around actual search behaviour, not guesswork — so it ranks for the terms your buyers really type.

Technical SEO

Clean URLs, correct heading hierarchy, canonical tags, sitemap and crawl-friendly architecture from day one.

Keyword architecture

Pages mapped to real search intent — process, material, location and buyer-stage keywords, not just head terms.

Local SEO

Genuine area-specific relevance for industrial clusters like Chakan MIDC, Bhosari and Pimpri-Chinchwad.

Industrial keyword research

Research grounded in the terminology your engineers and buyers actually use — ISO codes, process names, alloys.

Structured data

Organization, Service, Article, Breadcrumb and FAQ schema, applied only where it's genuinely accurate.

Performance optimisation

Core Web Vitals treated as a ranking input and a trust signal, not an afterthought.

03

Manufacturing Software

Internal software that replaces spreadsheets, repetitive calculations and fragmented workflows with one connected system.

RFQ management

A single place to track an enquiry from first contact through engineering review to quotation.

Quotation systems

Costing that rolls up from engineering data instead of being rebuilt by hand for every quote.

Production dashboards

Visibility into what's actually happening on the floor, without a manual end-of-shift report.

Costing systems

Structured, editable cost roll-ups for material, tooling, machining and secondary operations.

CRM

Customer records that build themselves from the quoting work already being done, not a separate system to maintain.

Workflow automation

Role-based approvals and pipelines that mirror how a quoting or production decision actually gets made.

04

AI Engineering Tools

Exploring how AI and computer vision can reduce repetitive engineering work — positioned as assistance and acceleration, not a replacement for engineers.

Drawing analysis

Reading title blocks, dimensions and specifications directly from casting and machining drawings.

Automatic ballooning

Numbering and plotting every dimension and tolerance across multi-sheet drawings for engineering review.

DFM assistance

Flagging manufacturability concerns earlier in the review process, before a die or fixture is committed to.

Quotation assistance

Carrying engineering data straight into a costed quotation instead of re-typing it a second or third time.

Tooling estimation

Structured capture of tooling, fixture and gauge requirements alongside the part they belong to.

RFQ summarisation

Turning a long enquiry thread or drawing package into a clear, reviewable summary for the team.

Development Approach

Business understanding first.
Technology follows.

  1. 01

    Discover

    Understand the business, its customers, and the problem actually worth solving.

  2. 02

    Design

    Structure the product or site around how the end user actually thinks and searches.

  3. 03

    Build

    Develop with AI-assisted tools, under direct review at every step — nothing ships unchecked.

  4. 04

    Validate

    Test against real data and real use, not just a demo scenario.

  5. 05

    Deploy

    Ship to production infrastructure matched to the project.

  6. 06

    Improve

    Use real usage and search data to improve it over time.

Start Here

Which of these is closest to what you need?